倍深式AS/RS中DOS存储策略与基于周转率的分类存储策略的对比研究

utomatedstorage/retrieval systems(AS/RS) has been rapidly popularized all over the country because of its high space utilization rate and high operational efficiency. How to use the large amount of historical data accumulated by these AS/RSs to optimize the operation of itself is a topic worthy of study, and using Duration-of-stay (DOS) storage policy instead of widely used classified storage policy based on turnover rate is an effective way to optimize the operation of these data. In this paper, DOS storage policy is applied to double-deep AS/RS, and a mathematical model of total travel time based on DOS policy is established. It is compared with the solution of the mathematical model and the classified storage policy based on turnover rate for small-scale and large-scale problems respectively. The simulation results show that the DOS storage policy is effective in double-depth AS/RS, and that the DOS storage policy has obvious advantages over the classification storage policy based on turnover rate. The research shows that the DOS storage policy is about 5% better than the classified storage policy based on turnover rate when the historical data is sufficient and can be effectively predicted.